A robust sparse representation framework for depth map restoration. - Xien Liu; Yanfeng Sun; Yongli Hu; Baocai Yin (ICME Workshops, 2013)

Hidden Softmax Sequence Model for Dialogue Structure Analysis. - Zhiyang He; Xien Liu; Ping Lv; Ji Wu 002 (ACL (1), 2016)

Automatic Sign Detection with Application to an Assistive Robot. - Amlaan Shakeel; Peining Che; Xien Liu; Yamuna Rajesekhar; John C. Femiani (AAAI Workshops, 2018)

Medical Exam Question Answering with Large-scale Reading Comprehension. - Xiao Zhang 001; Ji Wu 002; Zhiyang He; Xien Liu; Ying Su (AAAI, 2018)

Exploiting Sentence Embedding for Medical Question Answering. - Yu Hao; Xien Liu; Ji Wu 002; Ping Lv (AAAI, 2019)

Drug-drug Interaction Prediction with Graph Representation Learning. - Xin Chen; Xien Liu; Ji Wu 002 (BIBM, 2019)

Tensor Graph Convolutional Networks for Text Classification. - Xien Liu; Xinxin You; Xiao Zhang 001; Ji Wu 002; Ping Lv (AAAI, 2020)

Label-guided Learning for Text Classification. - Xien Liu; Song Wang; Xiao Zhang 001; Xinxin You; Ji Wu 002; Dejing Dou (CoRR, 2020)

SMP-Graph: Structure-Enhanced Unsupervised Semantic Graph Representation for Precise Medical Procedure Coding on EMRs. - Yue Gao 012; Xiangling Fu; Xien Liu; Kaiyin Zhou; Ji Wu 002 (BIBM, 2021)

Multi-features-Based Automatic Clinical Coding for Chinese ICD-9-CM-3. - Yue Gao 012; Xiangling Fu; Xien Liu; Ji Wu 002 (ICANN (5), 2021)

THiFly_Queens at SemEval-2021 Task 9: Two-stage Statement Verification with Adaptive Ensembling and Slot-based Operation. - Yuxuan Zhou 002; Kaiyin Zhou; Xien Liu; Ji Wu 002; Xiaodan Zhu 001 (SemEval@ACL/IJCNLP, 2021)

Table-based Fact Verification with Self-adaptive Mixture of Experts. - Yuxuan Zhou 002; Xien Liu; Kaiyin Zhou; Ji Wu 002 (ACL (Findings), 2022)

THiFLY Research at SemEval-2023 Task 7: A Multi-granularity System for CTR-based Textual Entailment and Evidence Retrieval. - Yuxuan Zhou 002; Ziyu Jin; Meiwei Li; Miao Li 003; Xien Liu; Xinxin You; Ji Wu 002 (SemEval@ACL, 2023)

How can Deep Learning Retrieve the Write-Missing Additional Diagnosis from Chinese Electronic Medical Record For DRG. - Shaohui Liu; Xien Liu; Ji Wu 002 (CoRR, 2023)

Exploring semantic information in disease: Simple Data Augmentation Techniques for Chinese Disease Normalization. - Wenqian Cui; Shaohui Liu; Xiangling Fu; Xien Liu; Ji Wu 002 (CoRR, 2023)

Data Augmentation Techniques for Chinese Disease Name Normalization. - Wenqian Cui; Xiangling Fu; Shaohui Liu; Mingjun Gu; Xien Liu; Ji Wu 002; Irwin King (BIBM, 2024)

MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge. - Yuxuan Zhou 002; Xien Liu; Chen Ning; Ji Wu 002 (IJCAI, 2024)

A typical sample-driven learning framework for automatic disease diagnosis. - Chenwei Yan; Xinxin You; Xiangling Fu; Xien Liu; Ji Wu 002 (Appl. Soft Comput., 2024)

TinyLLaVA: A Framework of Small-scale Large Multimodal Models. - Baichuan Zhou; Ying Hu; Xi Weng; Junlong Jia; Jie Luo 004; Xien Liu; Ji Wu 002; Lei Huang 015 (CoRR, 2024)

PretextTrans: Investigating Medical Factual Knowledge Mastery of LLMs with Predicate-text Dual Transformation. - Yuxuan Zhou 002; Xien Liu; Chen Ning; Ji Wu 002 (CoRR, 2024)

Optimising the paradigms of human AI collaborative clinical coding. - Yue Gao 012; Yuepeng Chen; Minghao Wang; Jinge Wu; Yunsoo Kim; Kaiyin Zhou; Miao Li 003; Xien Liu; Xiangling Fu; Ji Wu 002; Honghan Wu (npj Digit. Medicine, 2024)

Graph-Based Cross-Granularity Message Passing on Knowledge-Intensive Text. - Chenwei Yan; Xiangling Fu; Xinxin You; Ji Wu 002; Xien Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

LLM Sensitivity Evaluation Framework for Clinical Diagnosis. - Chenwei Yan; Xiangling Fu; Yuxuan Xiong; Tianyi Wang; Siu Cheung Hui; Ji Wu 002; Xien Liu (COLING, 2025)

Reliable and Diverse Evaluation of LLM Medical Knowledge Mastery. - Yuxuan Zhou 002; Xien Liu; Chen Ning; Xiao Zhang 001; Ji Wu 002 (ICLR, 2025)

Efficient Denoising of Ultrasonic Logging While Drilling Images: Multinoise Diffusion Denoising and Distillation. - Wei Zhang 099; Qiaofeng Qu; Ao Qiu; Zhipeng Li 004; Xien Liu; Yanjun Li (IEEE Trans. Geosci. Remote. Sens., 2025)

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training. - Xinxin You; Xien Liu; Qixin Sun; Huan Zhang; Kaiyin Zhou; Shaohui Liu; Guoping Hu; ShiJin Wang; Si Liu; Ji Wu 002 (CoRR, 2025)

Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving. - Yuxuan Zhou; Xien Liu; Chenwei Yan; Chen Ning; Xiao Zhang; Boxun Li; Xiangling Fu; Shijin Wang; Guoping Hu; Yu Wang; Ji Wu (CoRR, 2025)